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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Journal of Medical Systems (2017) Vol. 42, Iss. 1
Closed Access | Times Cited: 15

Showing 15 citing articles:

Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach
Debendra Muduli, Ratnakar Dash, Banshidhar Majhi
Biomedical Signal Processing and Control (2020) Vol. 59, pp. 101912-101912
Closed Access | Times Cited: 115
Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study
Anjan Gudigar, U. Raghavendra, Edward J. Ciaccio, et al.
IEEE Access (2019) Vol. 7, pp. 28498-28509
Open Access | Times Cited: 47
Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images
Deepak Ranjan Nayak, Dibyasundar Das, Ratnakar Dash, et al.
Multimedia Tools and Applications (2019) Vol. 79, Iss. 21-22, pp. 15381-15396
Closed Access | Times Cited: 42
DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images
Shouliang Qi, Caiwen Xu, Chen Li, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 211, pp. 106406-106406
Open Access | Times Cited: 29
Brain pathology identification using computer aided diagnostic tool: A systematic review
Anjan Gudigar, U. Raghavendra, Ajay Hegde, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 187, pp. 105205-105205
Closed Access | Times Cited: 30
Application of Extreme Learning Machine for Predicting Chlorophyll-a Concentration Inartificial Upwelling Processes
Yan Wei, Haocai Huang, Bin Chen, et al.
Mathematical Problems in Engineering (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 22
MJaya-ELM: A Jaya algorithm with mutation and extreme learning machine based approach for sensorineural hearing loss detection
Deepak Ranjan Nayak, Yudong Zhang, Dibyasundar Das, et al.
Applied Soft Computing (2019) Vol. 83, pp. 105626-105626
Open Access | Times Cited: 20
Intrusion Detection System Based on Gradient Corrected Online Sequential Extreme Learning Machine
Nedhal Ahmad Hamdi Qaiwmchi, Haleh Amintoosi, Amir Hossein Mohajerzadeh
IEEE Access (2020) Vol. 9, pp. 4983-4999
Open Access | Times Cited: 12
Local Neighbourhood Edge Responsive Image Descriptor for Texture Classification Using Gaussian Mutated JAYA Optimization Algorithm
G. Annalakshmi, S. Sakthivel Murugan
Arabian Journal for Science and Engineering (2021) Vol. 46, Iss. 9, pp. 8151-8170
Closed Access | Times Cited: 5
A Hybrid Dimension Reduction Based Linear Discriminant Analysis for Classification of High-Dimensional Data
Ezgi Zorarpacı
2022 IEEE Congress on Evolutionary Computation (CEC) (2021), pp. 1028-1036
Closed Access | Times Cited: 5
Fault Detection Based on Improved VAE-PPA
Mengyuan Xin, Yuan Li
(2024), pp. 258-262
Closed Access
A Novel Smart Motor Imagery Intention Human-Computer Interaction Model Using Extreme Learning Machine and EEG Signals
Yi Gu, Lei Hua
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 4
RETRACTED ARTICLE: EEG signal based brain activity monitoring using adaptive wavelet transform and activity learning neural vector (ALNV) classification technique
P. Balashanmuga Vadivu, J. Sundararajan
Multimedia Tools and Applications (2019) Vol. 79, Iss. 5-6, pp. 4199-4215
Closed Access | Times Cited: 3
Diagnosis of Brain Tumor using Automated Deep Learning Model
Ashmeet Kaur, Shailendra Singh
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2021), pp. 1-9
Closed Access | Times Cited: 1
Neighborhood preserving discrimination for rotor fault feature data set dimensionally reduction
Kunju Shi, Peng Wu, Mingshuai Liu, et al.
Vibroengineering PROCEDIA (2020) Vol. 33, pp. 11-16
Open Access
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